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To illustrate that in PsychoPy3.0.5, trialHandler methods .next() and .nextEntry() do not work
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Demo of TrialHandler
"""
from __future__ import absolute_import, division, print_function
from builtins import range
from random import random
from psychopy import data
# create your list of stimuli
# NB as of version 1.62 you could simply import an excel spreadsheet with this
# using data.importConditions('someFile.xlsx')
stimList = []
for ori in range(90, 180, 30):
for sf in [0.5, 1.0, 2.0]:
# append a python 'dictionary' to the list
stimList.append({'sf':sf, 'ori':ori})
# organize them with the trial handler
trials = data.TrialHandler(stimList, 10,
extraInfo= {'participant':"Nobody", 'session':'001'})
# run the experiment
nDone = 0
for x in range(20):
#for thisTrial in trials: # handler can act like a for loop
#trials.next()
trials.nextEntry()
# simulate some data
thisReactionTime = random() + float(thisTrial['sf']) / 2.0
thisChoice = round(random())
trials.addData('RT', thisReactionTime) # add the data to our set
trials.addData('choice', thisChoice)
nDone += 1 # just for a quick reference
msg = 'trial %i had position %s in the list (sf=%.1f)'
print(msg % (nDone, trials.thisIndex, thisTrial['sf']))
# after the experiment
print('\n')
trials.saveAsPickle(fileName = 'testData') # this saves a copy of the whole object
df = trials.saveAsWideText("testDataWide.csv") # wide is useful for analysis with R or SPSS. Also returns dataframe df
# The contents of this file are in the public domain.
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